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Respiratory symptoms can be a caused by different underlying conditions, and are often caused by viral infections, such as Influenza-like illnesses or other emerging viruses like the Coronavirus. These respiratory viruses, often, have…

Signal Processing · Electrical Eng. & Systems 2020-07-02 Abdelkader Nasreddine Belkacem , Sofia Ouhbi , Abderrahmane Lakas , Elhadj Benkhelifa , Chao Chen

Coronavirus disease 2019 (COVID-19) has emerged the need for computer-aided diagnosis with automatic, accurate, and fast algorithms. Recent studies have applied Machine Learning algorithms for COVID-19 diagnosis over chest X-ray (CXR)…

Image and Video Processing · Electrical Eng. & Systems 2025-01-27 Aysen Degerli , Mete Ahishali , Serkan Kiranyaz , Muhammad E. H. Chowdhury , Moncef Gabbouj

Deep learning has been used to assist in the analysis of medical imaging. One such use is the classification of Computed Tomography (CT) scans when detecting for COVID-19 in subjects. This paper presents Cov3d, a three dimensional…

Image and Video Processing · Electrical Eng. & Systems 2022-07-26 Robert Turnbull

The newly identified Coronavirus pneumonia, subsequently termed COVID-19, is highly transmittable and pathogenic with no clinically approved antiviral drug or vaccine available for treatment. The most common symptoms of COVID-19 are dry…

Image and Video Processing · Electrical Eng. & Systems 2020-04-23 Sara Hosseinzadeh Kassani , Peyman Hosseinzadeh Kassasni , Michal J. Wesolowski , Kevin A. Schneider , Ralph Deters

Lung diseases such as COVID-19, tuberculosis (TB), and pneumonia continue to be serious global health concerns that affect millions of people worldwide. In medical practice, chest X-ray examinations have emerged as the norm for diagnosing…

Image and Video Processing · Electrical Eng. & Systems 2023-10-11 Aditya Kulkarni , Guruprasad Parasnis , Harish Balasubramanian , Vansh Jain , Anmol Chokshi , Reena Sonkusare

Audio classification using breath and cough samples has recently emerged as a low-cost, non-invasive, and accessible COVID-19 screening method. However, a comprehensive survey shows that no application has been approved for official use at…

Sound · Computer Science 2022-11-24 Julia A. Meister , Khuong An Nguyen , Zhiyuan Luo

The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagious respiratory disease requiring early and accurate detection to curb its rapid…

Image and Video Processing · Electrical Eng. & Systems 2025-06-10 Md. Alamin Talukder , Md. Abu Layek , Mohsin Kazi , Md Ashraf Uddin , Sunil Aryal

As the COVID-19 pandemic continues to devastate globally, one promising field of research is machine learning-driven computer vision to streamline various parts of the COVID-19 clinical workflow. These machine learning methods are typically…

Image and Video Processing · Electrical Eng. & Systems 2021-09-15 Audrey G. Chung , Maya Pavlova , Hayden Gunraj , Naomi Terhljan , Alexander MacLean , Hossein Aboutalebi , Siddharth Surana , Andy Zhao , Saad Abbasi , Alexander Wong

The ongoing COVID-19 pandemic has already taken millions of lives and damaged economies across the globe. Most COVID-19 deaths and economic losses are reported from densely crowded cities. It is comprehensible that the effective control and…

Image and Video Processing · Electrical Eng. & Systems 2022-08-04 Zeba Ghaffar , Pir Masoom Shah , Hikmat Khan , Syed Farhan Alam Zaidi , Abdullah Gani , Izaz Ahmad Khan , Munam Ali Shah , Saif ul Islam

Researchers have been battling with the question of how we can identify Coronavirus disease (COVID-19) cases efficiently, affordably and at scale. Recent work has shown how audio based approaches, which collect respiratory audio data…

Due to the large accumulation of patients requiring hospitalization, the COVID-19 pandemic disease caused a high overload of health systems, even in developed countries. Deep learning techniques based on medical imaging data can help in the…

COVID-19 presence classification and severity prediction via (3D) thorax computed tomography scans have become important tasks in recent times. Especially for capacity planning of intensive care units, predicting the future severity of a…

Image and Video Processing · Electrical Eng. & Systems 2023-05-16 Dominik Müller , Niklas Schröter , Silvan Mertes , Fabio Hellmann , Miriam Elia , Wolfgang Reif , Bernhard Bauer , Elisabeth André , Frank Kramer

Ultrasound is fast becoming an inevitable diagnostic tool for regular and continuous monitoring of the lung with the recent outbreak of COVID-19. In this work, a novel approach is presented to extract acoustic propagation-based features to…

Image and Video Processing · Electrical Eng. & Systems 2021-06-15 Mahesh Raveendranatha Panicker , Yale Tung Chen , Gayathri M , Madhavanunni A N , Kiran Vishnu Narayan , C Kesavadas , A P Vinod

By the start of 2020, the novel coronavirus disease (COVID-19) has been declared a worldwide pandemic. Because of the severity of this infectious disease, several kinds of research have focused on combatting its ongoing spread. One…

Image and Video Processing · Electrical Eng. & Systems 2021-05-19 Safa Ben Atitallah , Maha Driss , Wadii Boulila , Henda Ben Ghézala

Early and reliable COVID-19 diagnosis based on chest 3-D CT scans can assist medical specialists in vital circumstances. Deep learning methodologies constitute a main approach for chest CT scan analysis and disease prediction. However,…

Image and Video Processing · Electrical Eng. & Systems 2021-06-22 Dimitrios Kollias , Anastasios Arsenos , Levon Soukissian , Stefanos Kollias

The pandemic of coronavirus disease 2019 (COVID-19) has lead to a global public health crisis spreading hundreds of countries. With the continuous growth of new infections, developing automated tools for COVID-19 identification with CT…

Image and Video Processing · Electrical Eng. & Systems 2020-09-17 Zhao Wang , Quande Liu , Qi Dou

The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread and has challenged different sectors. One of the most effective ways to limit its spread is the early and accurate diagnosing infected patients. Medical…

Timely and rapid diagnoses are core to informing on optimum interventions that curb the spread of COVID-19. The use of medical images such as chest X-rays and CTs has been advocated to supplement the Reverse-Transcription Polymerase Chain…

Image and Video Processing · Electrical Eng. & Systems 2023-05-31 Ogechukwu Ukwandu , Hanan Hindy , Elochukwu Ukwandu

The early and reliable detection of COVID-19 infected patients is essential to prevent and limit its outbreak. The PCR tests for COVID-19 detection are not available in many countries and also there are genuine concerns about their…

The ongoing global pandemic of Coronavirus Disease 2019 (COVID-19) poses a serious threat to public health and the economy. Rapid and accurate diagnosis of COVID-19 is crucial to prevent the further spread of the disease and reduce its…

Image and Video Processing · Electrical Eng. & Systems 2021-08-31 Jun Shi , Huite Yi , Shulan Ruan , Zhaohui Wang , Xiaoyu Hao , Hong An , Wei Wei